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Getting Started with Intel® Edge Developer Kits

Welcome to Intel®'s edge computing ecosystem! This guide will help you get up and running quickly, regardless of your experience level.

Table of Contents

Installation Walkthrough

Step 1: Prepare Your System

Required:

  • Ubuntu* 24.04 LTS Desktop (Download)
  • Internet connection
  • Administrator (sudo) access

Recommended:

Step 2: Enable Hardware Features

For Intel® Arc™ Graphics:

  1. Access BIOS/UEFI settings
  2. Enable "Resizable BAR" or "Above 4G Decoding"
  3. Save and reboot

Why? This significantly improves GPU performance with large AI models.

Step 3: Run the Installer

Option A: One-Line Install (Recommended)

sudo bash -c "$(wget -qLO - https://raw.githubusercontent.com/open-edge-platform/edge-developer-kit-reference-scripts/refs/heads/main/main_installer.sh)"

Option B: Step-by-Step Install

# Download the repository
git clone https://github.com/open-edge-platform/edge-developer-kit-reference-scripts.git
cd edge-developer-kit-reference-scripts

# Run main installer
sudo ./main_installer.sh

Step 4: Handle Reboot (if prompted)

Some driver installations require a reboot. If prompted:

  1. Reboot your system
  2. Return to the installation directory
  3. Run the post-reboot commands:
sudo ./openvino_installer.sh
sudo ./print_summary_table.sh

Step 5: Verify Installation

You should see output like this:

Installation is completed when you see this message:

========================================================================
Running Installation Summary

==================== System Installation Summary ====================
Item                      | Value
------------------------ -+-----------------------------------------
Kernel Version            | 6.14.0-27-generic
HWE Stack                 | Installed
Ubuntu Version            | Ubuntu 24.04.3 LTS
NPU Status                | Detected
NPU Package               | intel-level-zero-npu
NPU Version               | 1.19.0.20250707-16111289554
intel-driver-compiler-npu | 1.19.0.20250707-16111289554
intel-fw-npu              | 1.19.0.20250707-16111289554
intel-level-zero-npu      | 1.19.0.20250707-16111289554
level-zero                | 1.22.4
GPU Type                  | Intel
GPU Count                 | 4 Intel graphics device(s) detected
GPU Driver                | i915 (loaded)
GPU Device 1              | 00:02.0 VGA compatible controller: Intel Corporation Arrow Lake-U [Intel Graphics] (rev 06)
GPU Device 2              | 03:00.0 VGA compatible controller: Intel Corporation Device e20b
GPU Device 3              | 08:00.0 VGA compatible controller: Intel Corporation Device e20b
GPU Device 4              | 80:14.5 Non-VGA unclassified device: Intel Corporation Device 7f2f (rev 10)
------------------------ -+-----------------------------------------
Intel Graphics Packages   |
------------------------ -+-----------------------------------------
i965-va-driver:amd64      | 2.4.1+dfsg1-1build2
intel-gsc                 | 0.9.5-0ubuntu1~24.04~ppa1
intel-media-va-driver-non-free:amd64 | 25.3.1-0ubuntu1~24.04~ppa1
intel-opencl-icd          | 25.27.34303.9-1~24.04~ppa1
libegl-mesa0:amd64        | 25.0.7-0ubuntu0.24.04.1
------------------------ -+-----------------------------------------
Platform Status           | [✓] Platform is configured
=====================================================================

========================================================================
Installation completed: 2025-08-11 10:11:54
Log file saved: /var/log/intel-platform-installer.log
========================================================================

Your First AI Application

Quick Test: Chat Interface

Let's deploy a ChatGPT*-like interface running locally:

cd usecases/ai/openwebui-ollama
docker compose up -d

Access at: http://localhost

What you get:

  • Private AI chat interface
  • No data sent to external servers
  • Runs entirely on your Intel® hardware

Understanding What Happened

  1. Hardware Detection: The installer identified your specific Intel® platform
  2. Driver Installation: GPU, NPU, and other drivers were configured
  3. AI Framework: Intel® Distribution of OpenVINO™ Toolkit and supporting tools were installed
  4. Optimization: System was tuned for your hardware configuration

Next Steps

🚀 Try More Use Cases

Difficulty Project What You'll Learn
🟢 Beginner AI Video Analytics Computer vision basics
🟡 Intermediate RAG Knowledge Base Enterprise AI patterns
🔴 Advanced Real-Time Computing Ultra-low latency systems

🤝 Join the Community

🎉 Congratulations! You're now ready to build amazing AI applications with Intel® hardware.